ASM Traffic

Real-time environment simulation with traffic and objects

ASM Traffic is the model for simulating vehicles, traffic participants, traffic objects, and vehicle sensors. It allows to efficiently develop and validate driver assistance systems in virtual environments.

  • Simulating Large-Scale VANET Traffic Scenarios

    Realistic traffic simulation includes car2car and car2x communication. To demonstrate the feasibility of a vehicular ad hoc network (VANET) simulation concept, the following setup was implemented: ASM running on a dSPACE SCALEXIO HIL system, Veins1) C2X simulation running in OMNeT++2), and SUMO3) performing traffic simulation. This concept as a foundation, enables future research to harness combined benefits of highly detailed HIL testing embedded in large-scale VANET traffic scenarios. The tool chain can be used to analyze ADAS at unpreceded levels of detail and context.

    Bridging Worlds: Integrating Hardware-in-the-Loop Testing with Large-Scale VANET Simulation
    Download the paper

    Co-simulation with ego and fellow vehicles featuring Veins simulator and ASM real-time system:
    Watch the video   (Credits: Hy-Nets)


    1) Veins is an open source framework for running vehicular network simulations.

    2) OMNeT++ is an event-based network simulator.

    3) SUMO is a road traffic simulator (simulation of urban mobility).

  • A Moving Variety

    For commercial vehicles, diversity is a standard. Scania has a nearly endless selection of vehicle types and modular vehicle configurations. And the generic electronic control unit (ECU) system has just as many variants. In a new test lab, Scania shows how this system can be validated with reliability.

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  • All You Can Test

    Developing modern driver assistance systems involves an ever-growing amount of data which must be processed in real time. Hyundai MOBIS uses a HIL setup that is based on dSPACE SCALEXIO and can develop and test multiple driver assistance systems at the same time.

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  • Virtual Winter Tests

    No modern vehicle ever reaches the market without first undergoing exhaustive tests. And test vehicles alone are no longer enough to test the complex electronic control units. This job is performed by simulation models, which shift ECU development into the virtual reality of a virtual vehicle. Dr. Hagen Haupt, head of dSPACE's Modeling Group, explains how the dSPACE simulation models are meeting this challenge.

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  • Driver-in-the-Loop Simulation for Advanced Driver Assistance Systems

    A hardware-in-the-loop (HIL) simulation of an advanced driver assistance system (ADAS) for adaptive front lighting was coupled to a driving simulator with a reconfigurable motion platform and a high-performance visualization system. This made it possible to integrate a real driver in the closed control loop. This combination is called driver-in-the-loop (DIL) simulation. HIL simulations are sufficient for validating the correct functionality of vehicle control systems. In contrast, ADAS require the DIL approach because they support human drivers rather than directly taking action in vehicle stabilization. With DIL simulation, it is possible to ensure that an ADAS is functioning correctly and to test its acceptance by the real driver on a simulator during the development phase. 

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  • Eyes on the Road

    Powerful tool chain for validating driver assistance systems

    Well-coordinated tools for simulation, testing and visualization are indispensable in validating modern driver assistance systems. Developers need a quick, easy way to model the properties of the vehicle under test, as well as road networks, traffic and electronic control units (ECUs), and to visualize driving maneuvers realistically. Together, the Automotive Simulation Models (ASMs), ModelDesk and MotionDesk from dSPACE form a perfectly coordinated tool chain.

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Application Area

ASM Traffic adds traffic and environment simulation to dSPACE’s Automotive Simulation Models (ASM). It supports you in developing and testing advanced driver assistance systems (ADAS) that react to other vehicles or objects, like adaptive cruise control (ACC) and intersection assistants. The model simulates a road network, the vehicle under test, a multitude of fellow vehicles, and the necessary environment. The test vehicle can be equipped with multiple sensors for object detection and recognition (ego-vehicle). ASM Traffic is typically used for hardware-in-the-loop testing of electronic control units (ECUs) or for early function validation by offline simulation during the design phase of controller algorithms.


ASM Traffic is so flexible that any kind of traffic scenario can be created. This is the prerequisite for thorough testing of ADAS ECUs. ASM Traffic supports the creation of complex road networks, and you can define sophisticated traffic maneuvers on the roads. The simulated environment can consist of static and movable objects, like traffic signs and pedestrians. Various sensor models and user-definable sensors are available to detect these objects. To test precrash functionalities, you can define traffic scenarios that could result in an accident in real life, and observe system behavior under challenging conditions. You can modify and immediately simulate traffic scenarios without having to generate code again.

Environment Model Concept

ASM Traffic consists of a graphical user interface (GUI) and a set of simulation models that perform in real time. The GUI provides several interfaces for defining the necessary components like road networks, traffic signs, traffic vehicles, and sensors. Trajectories for all vehicles, objects, and pedestrians are calculated in real time according to the defined traffic maneuvers. ASM Traffic supports specific scenarios such as oncoming traffic, stop and go, and pedestrians. The Traffic Editor is the user interface for very flexible and easy traffic scenario definition.

  • Simulation of objects surrounding the ego-vehicle
  • Simulation of object detection sensors (camera, radar, lidar)
  • Definition of various traffic situations and complex scenarios
  • Definition of lane keeping and lane changes
  • Simulation of oncoming and crossing traffic
  • Simulation of road networks, including roads and intersections
  • Graphical definition of road networks or data import from various sources
  • GPS coordinate exchange with tools for developing turn-by-turn navigation systems
  • Simulation based on measurement data for velocity, steering and pedal actuation

  • ASM Traffic Product Information, PDF, English, 5067 KB
Product Information Contact Information

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